Company AI fingerprint

Two companies, six capability axes, one chart. Where each polygon bulges tells you what that company is actually building. The asymmetries — not the absolute values — are the story.

Company A:
Company B:
Foundation trainingFoundation training OpenAI: 27% (62/230) Scale AI: 35% (35/101)27% / 35%Inference infraInference infra OpenAI: 48% (111/230) Scale AI: 46% (46/101)48% / 46%Agent platformAgent platform OpenAI: 37% (84/230) Scale AI: 46% (46/101)37% / 46%Eval & safetyEval & safety OpenAI: 58% (133/230) Scale AI: 59% (60/101)58% / 59%RAG / retrievalRAG / retrieval OpenAI: 13% (30/230) Scale AI: 17% (17/101)13% / 17%Robotics + multimodalRobotics + multimodal OpenAI: 7% (17/230) Scale AI: 19% (19/101)7% / 19%Research depthResearch depth OpenAI: 14% (32/230) Scale AI: 28% (28/101)14% / 28%OpenAI · Foundation training: 27% (62/230)OpenAI · Inference infra: 48% (111/230)OpenAI · Agent platform: 37% (84/230)OpenAI · Eval & safety: 58% (133/230)OpenAI · RAG / retrieval: 13% (30/230)OpenAI · Robotics + multimodal: 7% (17/230)OpenAI · Research depth: 14% (32/230)Scale AI · Foundation training: 35% (35/101)Scale AI · Inference infra: 46% (46/101)Scale AI · Agent platform: 46% (46/101)Scale AI · Eval & safety: 59% (60/101)Scale AI · RAG / retrieval: 17% (17/101)Scale AI · Robotics + multimodal: 19% (19/101)Scale AI · Research depth: 28% (28/101)OpenAI· 230 AI roles, 9 regulatedScale AI· 101 AI roles, 9 regulated
Each axis = share of company’s tagged AI roles touching that capability cluster. Outer ring = 100%, inner ring = 25%. Hover any vertex for the underlying count.

Suggested comparisons